The image augmentation pipeline consists of the following transformations: random resized cropping, horizontal flipping, color jittering, grayscale conversion, Gaussian blurring, solarization, and multi-crop. The random resized cropping and multi-crop transformations are always applied, while the rest of transformations are applied randomly, with some probability. This probability is different for the two distorted views in the blurring and solarization transformations. We use the same augmentation parameters as BYOL besides multi-crop. The multi-crop follows SwAV [1]} and DINO [2]}. Each input image with \(224 \times 224 \)  is transformed twice to produce the two distorted views.
